← Authors

Shan You

39 papers · 2016–2026 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (12) πŸ—ΊοΈ Taxonomy Completionist (60) πŸ† Grand Slam 🀝 Dynamic Duo (29) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (10) ❓ The Questioner πŸ’Ž Century Club (38) ⚑ Prolific Year (11) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (131) πŸ”₯ Unstoppable (6)

Conferences

NIPS (9) CVPR (8) AAAI (5) ICCV (4) ICLR (4) ICML (4) ECCV (3) IJCAI (2)

Top co-authors

Chang Xu (29) Chen Qian (23) Fei Wang (23) Xiu Su (13) Changshui Zhang (12) Tao Huang (11) Mingkai Zheng (10) Xiaogang Wang (5) Lang Huang (4) Chao Xu (3)

Keywords

model compression (11) neural architecture search (9) representation learning (6) semi-supervised learning (4) convolutional neural network (4) image classification (4) neural network optimization (4) self-supervised learning (4) knowledge distillation (4) channel pruning (3) one-shot learning (3) architecture optimization (3) contrastive learning (3) supernet training (3) consistency regularization (2) differentiable search (2) semantic segmentation (2) efficient computing (2) privileged information (2) network architecture (2)

Papers

Injection Without Distortion: Geometrically Constrained Knowledge Enhancement for Vision-Language Models AAAI 2026
Learning Mask Invariant Mutual Information for Masked Image Modeling ICLR 2025
Adversarial Robustness via Deformable Convolution with Stochasticity ICML 2025
Stable Fair Graph Representation Learning with Lipschitz Constraint ICML 2025
Active Generation for Image Classification ECCV 2024
Detecting Any instruction-to-answer interaction relationship:Universal Instruction-to-Answer Navigator for Med-VQA ICML 2024
Masked Distillation with Receptive Tokens ICLR 2023
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations AAAI 2023
SimMatchV2: Semi-Supervised Learning with Graph Consistency ICCV 2023
Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection ICCV 2023
Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models NIPS 2023
Knowledge Diffusion for Distillation NIPS 2023
Neural Architecture Search for Wide Spectrum Adversarial Robustness AAAI 2023
GreedyNASv2: Greedier Search With a Greedy Path Filter CVPR 2022
Green Hierarchical Vision Transformer for Masked Image Modeling NIPS 2022
Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition NIPS 2022
Knowledge Distillation from A Stronger Teacher NIPS 2022
SimMatch: Semi-Supervised Learning With Similarity Matching CVPR 2022
DyRep: Bootstrapping Training With Dynamic Re-Parameterization CVPR 2022
Learning Where To Learn in Cross-View Self-Supervised Learning CVPR 2022
ScaleNet: Searching for the Model to Scale ECCV 2022
ViTAS: Vision Transformer Architecture Search ECCV 2022
Relational Surrogate Loss Learning ICLR 2022
Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement IJCAI 2022
Learning With Privileged Tasks ICCV 2021
Weakly Supervised Contrastive Learning ICCV 2021
Prioritized Architecture Sampling With Monto-Carlo Tree Search CVPR 2021
Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search CVPR 2021
Locally Free Weight Sharing for Network Width Search ICLR 2021
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets ICML 2021
ReSSL: Relational Self-Supervised Learning with Weak Augmentation NIPS 2021
BCNet: Searching for Network Width With Bilaterally Coupled Network CVPR 2021
GreedyNAS: Towards Fast One-Shot NAS With Greedy Supernet CVPR 2020
Learning Student Networks with Few Data AAAI 2020
Reborn Filters: Pruning Convolutional Neural Networks with Limited Data AAAI 2020
Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space NIPS 2020
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding NIPS 2020
Privileged Multi-label Learning IJCAI 2017
CNNpack: Packing Convolutional Neural Networks in the Frequency Domain NIPS 2016